Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI.

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第一作者： Amira,Bouamrane

第一单位： LIAOA Laboratory, University of Oum El-Bouaghi-Larbi Benmhidi, Oum El-Bouaghi 04000, Algeria.

作者： Amira,Bouamrane ^[1] ; Makhlouf,Derdour ^[1] ; Akram,Bennour ^[2] ; Taiseer Abdalla,Elfadil Eisa ^[3] ; Abdel-Hamid,M Emara ^[4] ; Mohammed,Al-Sarem ^[5] ; Neesrin Ali,Kurdi ^[6]

作者单位： LIAOA Laboratory, University of Oum El-Bouaghi-Larbi Benmhidi, Oum El-Bouaghi 04000, Algeria. ^[1] LAMIS Laboratory, Echahid Cheikh Larbi Tebessi University, Tebessa 12002, Algeria. ^[2] Applied College, King Khalid University, Mahayil 62529, Saudi Arabia. ^[3] Department of Computers and Systems Engineering, Faculty of Engineering, Al-Azhar University, Cairo 11884, Egypt. ^[4] Department of Information Technology, Aylol University College, Yarim 547, Yemen. ^[5] College of Computer Science and Engineering, Taibah University, Medina 41477, Saudi Arabia. ^[6]

关键词 CT scan DL XAI curriculum learning diagnosis mixup pulmonary nodules

DOI 10.3390/diagnostics15010001

PMID 39795530

发布时间 2025-01-13

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Diagnostics (Basel, Switzerland)

2024年15卷1期

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Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI.

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Toward Robust Lung Cancer Diagnosis: Integrating Multiple CT Datasets, Curriculum Learning, and Explainable AI.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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